Literature DB >> 34255170

Robotics in orthopaedic surgery: why, what and how?

Bernardo Innocenti1, Edoardo Bori2.   

Abstract

INTRODUCTION: Robotics applied to orthopedics has become an interesting topic both from the surgical point of view and the engineering one. The main goal of those systems is the enhancement of joint arthroplasty surgery, providing the robotic support to precisely and accurately prepare the bone, restore the limb alignment and the physiological kinematics of the joint. Various robotic systems are currently available on the market, each addressing specific kind of surgeries and characterized by a series of specific features that may involve different requirements and/or modus operandi.
MATERIAL AND METHODS: An overview of these devices was performed, addressing the different categories in which robots are subdivided in terms of: operations performed, requirements and level of interaction of the surgeon. The main models currently available on the market were addressed and relative studies in the literature were reported and compared, to highlight the benefits and drawbacks of the different technologies.
RESULTS: The different robotic systems were subdivided in: open/closed platform, image-based/imageless and active/passive/semi-active. Regardless of the typology of robotic system, the main aim is to improve precision and accuracy of the operation. It is to be noted that, regardless of the typology of robotic system, the surgeon is still in charge of the planning and approval of the operation: only the precise and consistent execution of his directives is entrusted to the robot. The positive factors have however to be weighed against the fact that robotic systems involve an important initial investment and most of the times require the surgeons and the staff to learn how to operate them (with a learning curve differing from system to system).
CONCLUSIONS: Each surgeon, when considering if and which robotic system to adopt, has to properly evaluate the different benefits and drawbacks involved to find the surgical robot that fits his needs the best.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Robotic surgery; Robotic systems; THA; TKA; UKA

Year:  2021        PMID: 34255170     DOI: 10.1007/s00402-021-04046-0

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


  27 in total

1.  Causes and patterns of aborting a robot-assisted arthroplasty.

Authors:  Young Soo Chun; Kang Il Kim; Yoon Je Cho; Yoon Hyuk Kim; Myung Chul Yoo; Kee Hyung Rhyu
Journal:  J Arthroplasty       Date:  2010-08-07       Impact factor: 4.757

Review 2.  Robotic-assisted knee arthroplasty.

Authors:  Samik Banerjee; Jeffrey J Cherian; Randa K Elmallah; Julio J Jauregui; Todd P Pierce; Michael A Mont
Journal:  Expert Rev Med Devices       Date:  2015-09-12       Impact factor: 3.166

Review 3.  Robot-assisted total hip arthroplasty.

Authors:  Samik Banerjee; Jeffery J Cherian; Randa K Elmallah; Todd P Pierce; Julio J Jauregui; Michael A Mont
Journal:  Expert Rev Med Devices       Date:  2015-12-21       Impact factor: 3.166

4.  For better hip replacement results, surgeon's best friend may be a robot.

Authors:  M F Goldsmith
Journal:  JAMA       Date:  1992-02-05       Impact factor: 56.272

Review 5.  Robotics in Arthroplasty: A Comprehensive Review.

Authors:  David J Jacofsky; Mark Allen
Journal:  J Arthroplasty       Date:  2016-05-18       Impact factor: 4.757

Review 6.  Robots in the Operating Room During Hip and Knee Arthroplasty.

Authors:  Paul L Sousa; Peter K Sculco; David J Mayman; Seth A Jerabek; Michael P Ast; Brian P Chalmers
Journal:  Curr Rev Musculoskelet Med       Date:  2020-06

7.  The effect of alignment and BMI on failure of total knee replacement.

Authors:  Merrill A Ritter; Kenneth E Davis; John B Meding; Jeffery L Pierson; Michael E Berend; Robert A Malinzak
Journal:  J Bone Joint Surg Am       Date:  2011-09-07       Impact factor: 5.284

Review 8.  Robotics in Total Knee Arthroplasty.

Authors:  Maria Bautista; Jorge Manrique; William J Hozack
Journal:  J Knee Surg       Date:  2019-03-01       Impact factor: 2.757

9.  Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer.

Authors:  Rebecca Smith-Bindman; Jafi Lipson; Ralph Marcus; Kwang-Pyo Kim; Mahadevappa Mahesh; Robert Gould; Amy Berrington de González; Diana L Miglioretti
Journal:  Arch Intern Med       Date:  2009-12-14

Review 10.  A review of the evolution of robotic-assisted total hip arthroplasty.

Authors:  Padmanabhan Subramanian; Tom W Wainwright; Shayan Bahadori; Robert G Middleton
Journal:  Hip Int       Date:  2019-05       Impact factor: 2.135

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  5 in total

1.  Intraoperative technology increases operating room times in primary total knee arthroplasty.

Authors:  Stephen G Zak; David Cieremans; Alex Tang; Ran Schwarzkopf; Joshua C Rozell
Journal:  Arch Orthop Trauma Surg       Date:  2022-05-12       Impact factor: 3.067

2.  Finite element analysis of malposition in bi-unicompartmental knee arthroplasty.

Authors:  Nicola Armillotta; Edoardo Bori; Bernardo Innocenti
Journal:  Arch Orthop Trauma Surg       Date:  2022-10-20       Impact factor: 2.928

3.  Custom Massive Allograft in a Case of Pelvic Bone Tumour: Simulation of Processing with Computerised Numerical Control vs. Robotic Machining.

Authors:  Leonardo Vivarelli; Marco Govoni; Dario Attala; Carmine Zoccali; Roberto Biagini; Dante Dallari
Journal:  J Clin Med       Date:  2022-05-15       Impact factor: 4.964

4.  Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery.

Authors:  Florian Kordon; Andreas Maier; Benedict Swartman; Maxim Privalov; Jan Siad El Barbari; Holger Kunze
Journal:  J Imaging       Date:  2022-04-12

Review 5.  Discussion on the possibility of multi-layer intelligent technologies to achieve the best recover of musculoskeletal injuries: Smart materials, variable structures, and intelligent therapeutic planning.

Authors:  Na Guo; Jiawen Tian; Litao Wang; Kai Sun; Lixin Mi; Hao Ming; Zhao Zhe; Fuchun Sun
Journal:  Front Bioeng Biotechnol       Date:  2022-09-30
  5 in total

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